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HomeAcademic staffProfessor Anastasios Dagiuklas

Professor Anastasios Dagiuklas

dagiukla@lsbu.ac.uk

Computer Science and Informatics

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0000-0002-8101-1208

I am Professor at Computer Science and Informatics Division, London South Bank University, carrying out research and teaching activities in the field of Cloud Computing and Future Internet Technologies. I am the Head for Cognitive Systems Research centre carrying out research in the areas of robotics, autonomous systems and smart Internet technologies for smart cities, smart health and smart manufacturing verticals.

I obtained my PhD in Electronics Systems Engineering from the University of Essex and my MSc in Electrical Engineering from the University of Patras-Greece.

My research focuses on the areas of 5G networking technologies (O-RAN, IAB, UAV-Swarm, Edge/Fog Computing), Network Automation Technologies (NFV orchestration, error-resilient control plane, programmable data-planes with P4), and QoE for immersive media applications (e.g. 360 video, AR/VR, volumetric video, point-cloud). My research has been supported by Innovate-UK, Horizon 2020 and Marrie Currie, securing more than £10m funding. Through these projects, I have collaborated with peer academic and research institutions at national and international level (Loughborough University, University of Essex, University of Sussex, University of Aveiro, University of Cagliari, National Technical University of Athens, University of Aegean, Open University of Cyprus, Institute of Telecommunications, Austrian Institute of Technology, Technical University of Vienna). I have collaborated with multi-national companies such as Thales, EXFO, Telefonica, Nokia as well as with SMEs at both National (Future Intelligence, AdvTec, Motion-Robotics) and European (Synelixis, SigInt, GS-LDA, PenteNetworks, IS-Wireless) level.

My research work has been published in leading IEEE Journals and published in prestigious conferences such IEEE ICC, GLOBECOM and ICME. I have served as a Chair for IEEE MMTC 3DIG WG and Vice-Chair for IEEE MMTC QoE WG and Key Member for IEEE MMTC MSIG and 3DRPC WGs. I have served as Associate Technical Editor for IEEE Communications Magazine and served as Guest Editor in many scientific journals. I am currently serving on the Editorial Board for EURASIP on Image and Video processing, ELSEVIER Signal Processing: Image Communications and MDPI Energies.

Courses taught

Data Science - MSc

BSc (Hons) Computer Science 2022/23

Applied Artificial Intelligence - MSc

Postgraduate Research Supervision
Current
Mr Chenrui QiuIntelligent solutions for scalable, mission-critical 6G networksPhD
Mr Seyed Kasra Mohades KassaiPRECISE: Piece-wise Resource-Efficient Computing for Intelligent Sustainable EdgePhD
Mr Paul Marcel ShepherdZero Trust Management in Edge-based Federated LearningMRes
Ms Satwat BashirProximity Learning for Computation at the 5G-enabled EdgePhD
Mrs Faria HossainVolumetric Video is more than Virtual Production: "Bringing Immersive Media into Existence”PhD
Miss Basma Badawi Mahmoud HathoutMulti-layer framework for mitigating poisoning attacks in edge cloud federated learning.PhD

Awarded in the last 5 years
Mr Saptarshi GhoshA Cognitive Routing framework for Self-Organised Knowledge Defined NetworksPhD
Mr Godwin Omoarebu IdojeSmart Farming using Artificial Intelligence and edge cloud computingPhD
Mr Brahim El Boudani3D Indoor Positioning in 5G networksPhD
Mr Vasilis TsakanikasEnabling Artificial Intelligence Analytics on The Edge PhD
BEng in Electrical Engineering

University of Patras

1984
1989
MSc by reserarch

University of Manchester

1990
1991
PhD

University of Essex

1992
1995
Assistant Professor
Hellenic Open University

Tenured Track Assistant Professor

2013
2016
Education
Tenured Track Assistant Professor
Technological Educational Institute of Mesolongi

Tenured Track Assistant Professor

2008
2013
Education
FunderYear wonProjectRole
Ministry of Defence2023AII127: Defence Implementation of a Military Software Defined Control Plane Principal Investigator
ViveACE2022Qinteq MOD PresentationPrincipal Investigator
British Council UK2022AI-Powered Security and Privacy in UAV-Communication Systems (SYRACUSE)Co-Investigator
Royal Society2022Mm-Wave MIMO Transmission and Coverage Enhancement Using Intelligent Reflecting SurfaceCo-Investigator
Defence and Security Accelerator (DASA)2021DASA Wireless communications, Networking and Information Theory ChallengePrincipal Investigator
Department of Culture Media and Sport2020Cyber security academic startup accelerator programme year 4Principal Investigator
ProposalProjectRoleFunderStatusStatus last updated
(SES6G) Sustainable End-to-End Solution for 6G Communication and Computing (SES6G) Sustainable End-to-End Solution for 6G Communication and ComputingPrincipal InvestigatorMarie Sklodowska-Curie ActionsOPEN In preparationSep 2024
London South Bank University, Federal University of Technology Minna Nigeria and Progit Company Limited AAKTP 23_24 R3London South Bank University, Federal University of Technology Minna Nigeria and Progit Company Limited AAKTP 23_24 R3Principal InvestigatorInnovate UK OPEN In preparationAug 2023
Qinteq MOD PresentationQinteq MOD PresentationPrincipal InvestigatorViveACEOPEN Approved for submissionMar 2022
Tasos Dagiuklas_RECREATE (proposal)Tasos Dagiuklas_RECREATEPrincipal InvestigatorUK Research and Innovation (UKRI)OPEN Approved for submissionJul 2019

Associate editor
2015
Signal Processing: Image Communication

Editorial/Advisory Board Member
2016
Image and Video processing

Editorial/Advisory Board Member
2016

Editorial/Advisory Board Member
2020
Loughborough University
External examiner

Institute of Digital Technologies

October 2019
September 2022

Reactive vs Predictive Live Migration in Edge Cloud
Rani, D., Ghosh, S. and Dagiuklas, A. (2024). Reactive vs Predictive Live Migration in Edge Cloud. IEEE ICC. Denver 13 Feb - 09 Jun 2024 IEEE. https://doi.org/10.1109/ICC51166.2024.10622687

GreenBytes: Intelligent Energy Estimation for Edge-Cloud
Kassai, K., Dagiuklas, A., Bashir, S. and Iqbal, M. (2024). GreenBytes: Intelligent Energy Estimation for Edge-Cloud. IET 6G and Future Networks Conference (IET 6G 2024). London, UK 24 - 25 Jun 2024 Institution of Engineering and Technology (IET). https://doi.org/10.1049/icp.2024.2237

Direction Estimation of the Attacked Signal in PBCH of 5G NR
Kazemian, M., Dagiuklas, A. and Jasperneite, J. (2024). Direction Estimation of the Attacked Signal in PBCH of 5G NR. IEEE Communications Letters. 28 (7), pp. 1639 - 1643. https://doi.org/10.1109/LCOMM.2024.3401741

Security, Privacy and Trust of Distributed Ledgers Technology
Rasool, S., Iqbal, M., Shancang, L., Dagiuklas, A. and Ghosh, S. (2024). Security, Privacy and Trust of Distributed Ledgers Technology. in: Al-Dulami, A., Dobre, O.A. and I, C-L. (ed.) Blockchains: Empowering Technologies and Industrial Applications IEEE.

Benchmarking Reidentification in Multi-Camera Tracking Systems with YOLOv8 and ResNet-50
Pal, S. and Dagiuklas, T. (2023). Benchmarking Reidentification in Multi-Camera Tracking Systems with YOLOv8 and ResNet-50. 2023 International Conference on Human-Centered Cognitive Systems (HCCS). Cardiff, UK 16 - 17 Dec 2023 IEEE. https://doi.org/10.1109/hccs59561.2023.10452624

The journey from 5G towards 6G
Dagiuklas, A. (2023). The journey from 5G towards 6G. International Symposium on Electrical and Electronics Engineering (ISEEE). 26 - 28 Oct 2023 IEEE. https://doi.org/10.1109/iseee58596.2023.10310418

Information Fusion for 5G IoT: An Improved 3D Localisation Approach Using K-DNN and Multi-Layered Hybrid Radiomap
El Boudani, B., Dagiuklas, A., Kanaris, L., Iqbal, M. and Chrysoulas, C. (2023). Information Fusion for 5G IoT: An Improved 3D Localisation Approach Using K-DNN and Multi-Layered Hybrid Radiomap. Electronics. 12 (19), p. 4150. https://doi.org/10.3390/electronics12194150

Empowering Non-Terrestrial Networks with Artificial Intelligence: A Survey
Iqbal, A., Tham, M., L., Wong, Y. J., AL-HABASHNA, A., A., Wainer, G. and Dagiuklas, A. Empowering Non-Terrestrial Networks with Artificial Intelligence: A Survey. IEEE Access.

Federated Learning: Crop Classification in a Smart Farm Decentralised Network
Idoje, G., Dagiuklas, A. and Iqbal, M. (2023). Federated Learning: Crop Classification in a Smart Farm Decentralised Network. Smart Agricultural Technology. 5, p. 100277. https://doi.org/10.1016/j.atech.2023.100277

A New Forgery Image Dataset and its Subjective Evaluation
Hossain, F., Dagiuklas, T and Skodras, A. (2023). A New Forgery Image Dataset and its Subjective Evaluation. 2023 IEEE IAS Global Conference on Emerging Technologies (GlobConET). London 19 - 21 May 2023 IEEE. https://doi.org/10.1109/globconet56651.2023.10150020

Deep Reinforcement Learning for Secrecy Energy-Efficient UAV Communication with Reconfigurable Intelligent Surface
Dagiuklas, A. (2023). Deep Reinforcement Learning for Secrecy Energy-Efficient UAV Communication with Reconfigurable Intelligent Surface. IEEE WCNC. Scotland 26 - 29 Mar 2023 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/wcnc55385.2023.10118891

Realising URRLC for Smart Energy Network Services
Dagiuklas, A. and Alefragkis, P. (2023). Realising URRLC for Smart Energy Network Services. Symposium Communications for Energy Systems. Viena, Austria 15 - 17 Mar 2023

Comparative Analysis of Data using Machine Learning Algorithms: A hydroponics system use case
Idoje, G., Mouroutoglou, C., Dagiuklas, A., Kotsiras, A., Muddesar, I, and Alefragkis, P. (2022). Comparative Analysis of Data using Machine Learning Algorithms: A hydroponics system use case . Smart Agricultural Technology. 4, p. 100207. https://doi.org/10.1016/j.atech.2023.100207

An Intelligent model for supporting Edge Migration for Virtual Function Chains in Next Generation Internet of Things
Tsakanikas, V., Dagiuklas, A., Iqbal, M., Wang, X. and Mumtaz, S. (2023). An Intelligent model for supporting Edge Migration for Virtual Function Chains in Next Generation Internet of Things. Scientific Reports. 13 (1063). https://doi.org/10.1038/s41598-023-27674-5

On the benchmarking of ResNet forgery image model using different datasets
Hossain, F. and Dagiuklas, A. (2022). On the benchmarking of ResNet forgery image model using different datasets. Human-Centered Cognitive Systems. Shangai, China 18 Nov - 17 Dec 2022 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/HCCS55241.2022.10090275

The Metaverse evolution: Toward Future Digital Twin Campuses
Antonijevic, P., Iqbal, M., Ubakanma, G. and Dagiuklas, A. (2022). The Metaverse evolution: Toward Future Digital Twin Campuses. International Conference On Human-Centered Cognitive Systems (HCCS 2022). Shangai, China 17 Dec 2022 - 18 Mar 2023 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/HCCS55241.2022.10090250

VFCSIM: A simulation framework for real-time multi-service Virtual Function Chains deployment
Tsakanikas, V. and Dagiuklas, A. (2018). VFCSIM: A simulation framework for real-time multi-service Virtual Function Chains deployment. IEEE Global Communications Conference (GLOBECOM). Abu Dhabi, United Arab Emirates, United Arab Emirates 09 - 13 Dec 2018 Institute of Electrical and Electronics Engineers (IEEE).

A Generic Framework for Deploying Video Analytic Services on the Edge
Tsakanikas, V. and Dagiuklas, A. (2022). A Generic Framework for Deploying Video Analytic Services on the Edge. IEEE Transactions on Cloud Computing. https://doi.org/10.1109/TCC.2022.3218813

Supereye: smart advertisement insertion for online video streaming
Bulkan, U., Dagiuklas, A. and Iqbal, M. (2022). Supereye: smart advertisement insertion for online video streaming. Multimedia Tools and Applications. https://doi.org/10.1007/s11042-022-13469-9

The role of NTN in 6G
Dagiuklas, A. and Zhu, Y. (2022). The role of NTN in 6G. https://futurenetworks.ieee.org. Virtual 19 - 21 Jul 2022 Institute of Electrical and Electronics Engineers (IEEE).

Multi-Agent Collaborative Learning for UAV Enabled Wireless Networks
Xia, W., Zhu, Y., De Simone, L., Dagiuklas, A., Wong, K-K. and Zhen, G. (2022). Multi-Agent Collaborative Learning for UAV Enabled Wireless Networks. IEEE Journal on Selected Areas in Communications. pp. 2630 - 2642. https://doi.org/10.1109/JSAC.2022.3191329

A Comparative Analysis of Deadlock Avoidance and Prevention Algorithms for Resource Provisioning in Intelligent Autonomous Transport Systems over 6G Infrastructure
Ugwuanyi, E., Iqbal, M. and Dagiuklas, A. (2022). A Comparative Analysis of Deadlock Avoidance and Prevention Algorithms for Resource Provisioning in Intelligent Autonomous Transport Systems over 6G Infrastructure. IEEE Transactions on Intelligent Transportation Systems. https://doi.org/10.1109/TITS.2022.3169424

Forgery Image Dataset
Hossain, Faria, Gul, Asim, Raja, Rameez, Dagiuklas, A. and Galkandage, Chathura (2022). Forgery Image Dataset. Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.21227/9dmj-yn86

A Cognitive Routing Framework for Reliable Communication in IoT for Industry 5.0
Ghosh, S., Dagiuklas, A., Iqbal, M. and Wang, X. (2021). A Cognitive Routing Framework for Reliable Communication in IoT for Industry 5.0. IEEE Transactions on Industrial Informatics. https://doi.org/10.1109/TII.2022.3141403

Enabling Real-Time AI Edge Video Analytics
Tsakanikas, V. and Dagiuklas, A. (2021). Enabling Real-Time AI Edge Video Analytics. IEEE International Conference on Communications. Montreal 14 - 23 Jun 2021 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ICC42927.2021.9500902

Robust, Resilient and Reliable Architecture for V2X Communication
Khan, M.A., Ghosh, S., Busari, S.A., Huq, K.M.S., Dagiuklas, A., Mumtaz, S., Iqbal, M. and Rodriguez, J. (2021). Robust, Resilient and Reliable Architecture for V2X Communication. IEEE Transactions on Intelligent Transportation Systems. https://doi.org/10.1109/TITS.2021.3084519

A Centralised Hybrid Routing Model for Multi-Controller SD-WANs
Ghosh, S, Iqbal, M. and Dagiuklas, A. (2020). A Centralised Hybrid Routing Model for Multi-Controller SD-WANs. Transactions on Emerging Telecommunications Technologies. 32 (6), p. e4252. https://doi.org/10.1002/ett.4252

Towards An SDN Assisted IDS
Sutton, R., Ludwiniak, R., Pitropakis, N., Chrysoulas, C. and Dagiuklas, T. (2021). Towards An SDN Assisted IDS. 2021 11th IFIP International Conference on New Technologies, Mobility and Security (NTMS). https://doi.org/10.1109/ntms49979.2021.9432651

Survey for Smart Farming Technologies: Challenges and Issues
Idoje, G., Dagiuklas, A. and Iqbal, M. (2020). Survey for Smart Farming Technologies: Challenges and Issues. Computers and Electrical Engineering. 92, p. 107104. https://doi.org/10.1016/j.compeleceng.2021.107104

A Self-Organised Knowledge Defined Networks Architecture for Reliable Routing
Ghosh, S., El Boudani, B., Dagiuklas, A. and Iqbal, M. (2021). A Self-Organised Knowledge Defined Networks Architecture for Reliable Routing. 4th International Conference on Information Science and Systems ICISS 2021. Edinburugh 17 - 19 Mar 2021 ACM.

SO-KDN: A Self-Organised Knowledge Defined Networks Architecture for Reliable Routing
Ghosh, S., El Boudani, B., Dagiuklas, A. and Iqbal, M. (2021). SO-KDN: A Self-Organised Knowledge Defined Networks Architecture for Reliable Routing. 2021 The 4th International Conference on Information Science and Systems. https://doi.org/10.1145/3459955.3460617

Positioning as Service for 5G IoT Networks
El Boudani, B., Kanaris, L., Kokkinis, A., Chrysoulas, C., Dagiuklas, A. and Stavrou, S. (2021). Positioning as Service for 5G IoT Networks. 2021 Telecoms Conference (ConfTELE). Leiria 10 - 12 Feb 2021 Institute of Electrical and Electronics Engineers (IEEE).

A Novel Predictive-Collaborative-Replacement (PCR) Intelligent Caching Scheme for Multi-Access Edge Computing (MECs)
Ugwuanyi, E.E., Iqbal, M. and Dagiuklas, A. (2021). A Novel Predictive-Collaborative-Replacement (PCR) Intelligent Caching Scheme for Multi-Access Edge Computing (MECs). IEEE Access. 9, pp. 37103 - 37115. https://doi.org/10.1109/ACCESS.2021.3058769

Multiobjective Optimization Algorithms for Wireless Sensor Networks
Kandris, D., Alexandridis, A., Dagiuklas, A., Panaousis, E. and Vergados, D. (2020). Multiobjective Optimization Algorithms for Wireless Sensor Networks. Wireless Communications and Mobile Computing. 2020, pp. 1-5. https://doi.org/10.1155/2020/4652801

Implementing Deep Learning Techniques in 5G IoT Networks for 3D Indoor Positioning: DELTA (DeEp Learning-Based Co-operaTive Architecture)
El Boudani, B., Kanaris, L., Kokkinis, A., Kyriacou, M., Chrysoulas, C., Stavrou, S. and Dagiuklas, A. (2020). Implementing Deep Learning Techniques in 5G IoT Networks for 3D Indoor Positioning: DELTA (DeEp Learning-Based Co-operaTive Architecture). Sensors. 20 (19), p. e5495. https://doi.org/10.3390/s20195495

Shared Hybrid ARQ with Incremental Redundancy (SHARQ-IR) in Overloaded MIMO Systems to support Energy-Efficient Transmissions
Kashif, M, Iqbal, M, Ullah, Z, Dagiuklas, A, Sarwar, S, Ul Qayyum, Z and Safyan, M (2020). Shared Hybrid ARQ with Incremental Redundancy (SHARQ-IR) in Overloaded MIMO Systems to support Energy-Efficient Transmissions. IEEE Access. https://doi.org/10.1109/ACCESS.2020.3001146

DocsChain: Blockchain based IoT Solution for Verficiation of Degree Documents
Rasool, S., Saleem, A., Iqbal, M., Dagiuklas, A., Mumtaz, S. and Ul Qayyum, Z. (2020). DocsChain: Blockchain based IoT Solution for Verficiation of Degree Documents. IEEE Transactions on Computational Social Systems. pp. 827-837. https://doi.org/10.1109/TCSS.2020.2973710

Modelling quality of experience for online video advertisement insertion
Bulkan, U., Dagiuklas, A. and Iqbal, M. (2019). Modelling quality of experience for online video advertisement insertion. IEEE Transactions on Broadcasting. https://doi.org/10.1109/TBC.2020.2965064

Evolution of Orchestration Towards 5G
Kassai, K., Ghosh, S and Dagiuklas, A (2019). Evolution of Orchestration Towards 5G. Journal of Communication. 14 (12). https://doi.org/10.12720/jcm.14.12.1134-1140

BlueArch – An implementation of 5G Testbed
Ghosh, S, Ugwuanyi, E, Dagiuklas, A and Iqbal, M (2019). BlueArch – An implementation of 5G Testbed. Journal of Communication. https://doi.org/10.12720/jcm.14.12.1110-1118

Lightweight Computation to Robust Cloud Infrastructure for Future Technologies (Workshop Paper)
Shahzadi, S., Iqbal, M., Wang, X., Ubakanma, G., Dagiuklas, A. and Tchernykh, A. (2019). Lightweight Computation to Robust Cloud Infrastructure for Future Technologies (Workshop Paper). Wang, Xinheng, Gao, Honghao, Iqbal, Muddesar and Min, Geyong (ed.) CollaborateCom 2019 - 15th EAI International Conference on Collaborative Computing: Networking, Applications and Worksharing. London 19 - 22 Nov 2019 Springer. pp. 3-11

Co-Operative and Hybrid Replacement Caching for Multi-Access Mobile Edge Computing
Ugwuaynyi, E.E., Ghosh, S., Iqbal, M., Dagiuklas, A., Mumtaz, S. and Al-Dulaimi, A. (2019). Co-Operative and Hybrid Replacement Caching for Multi-Access Mobile Edge Computing. 2019 European Conference on Networks and Communications (EuCNC). Valencia, Spain 18 - 21 Jun 2019 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/EuCNC.2019.8801991

Predicting quality of experience for online video service provisioning
Bulkan, U. and Dagiuklas, A. (2019). Predicting quality of experience for online video service provisioning. Multimedia Tools and Applications. 78, p. 18787–18811. https://doi.org/10.1007/s11042-019-7164-9

On the Load Balancing of Edge Computing resources for on-line video delivery
Bulkan, U., Dagiuklas, A., Iqbal, M, Saidul Huq, M, Al-Dulaimi, A and Rodriguez, J (2018). On the Load Balancing of Edge Computing resources for on-line video delivery. IEEE Access. 6 (2018), pp. 73916-73927. https://doi.org/10.1109/ACCESS.2018.2883319

IoTA: IoT Automated SIP-based Emergency Call Triggering System for general eHealth purposes
Andriopoulou, F, Orphanoudakis, T and Dagiuklas, A. (2017). IoTA: IoT Automated SIP-based Emergency Call Triggering System for general eHealth purposes. 13th IEEE International Conference on Wireless and Mobile Computing, Networking and Communications. Rome 09 - 11 Oct 2017 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/WiMOB.2017.8115830

Video surveillance systems-current status and future trends
Tsakanikas, V. and Dagiuklas, A. (2018). Video surveillance systems-current status and future trends. Computers and Electrical Engineering. 70, pp. 736-753. https://doi.org/10.1016/j.compeleceng.2017.11.011

Predicting Quality Of Experience For Online Video Systems Using Machine Learning
Dagiuklas, T and Bulkan, U (2017). Predicting Quality Of Experience For Online Video Systems Using Machine Learning. 19th IEEE International Workshop on Multimedia Signal Processing. Luton 16 - 18 Oct 2017 Institute of Electrical and Electronics Engineers (IEEE).

A Novel Mobility-Aware Playout Algorithm for VoIP Services
Lykourgiotis, A, Kotsopoulos, S and Dagiuklas, A. (2017). A Novel Mobility-Aware Playout Algorithm for VoIP Services. Wireless Personal Communications. 96 (2), pp. 2427-2446. https://doi.org/10.1007/s11277-017-4305-1

EMYNOS: Next Generation Emergency Communication
Markakis, E, Lykourgiotis, A, Politis, I, Dagiuklas, T. and Rebahi, Y (2016). EMYNOS: Next Generation Emergency Communication. IEEE Communications Magazine. 55 (1), pp. 139-145. https://doi.org/10.1109/MCOM.2017.1600284CM

Wireless Information-Theoretic Security: Theoretical analysis & experimental measurements with multiple eavesdroppers in an outdoor obstacle-dense MANET
Chrysikos, T, Birkos, K, Dagiuklas, A. and Kotsopoulos, S (2016). Wireless Information-Theoretic Security: Theoretical analysis & experimental measurements with multiple eavesdroppers in an outdoor obstacle-dense MANET. Physical Communication. https://doi.org/10.1016/j.phycom.2016.11.003

Integrating IoT and Fog Computing for Healthcare Service Delivery
Andriopoulou, F, Dagiuklas, T. and Orphanoudakis, T (2016). Integrating IoT and Fog Computing for Healthcare Service Delivery. in: Keramidas, G, Voros, N and Hübner, M (ed.) Components and Services for IoT Platforms: Paving the Way for IoT Standards Springer. pp. 213-232

Techno-economic analysis for the deployment of PPDR services over 4G/4G+ Networks
Chrysikos, T, Galiotos, P, Dagiuklas, A. and Kotsopoulos, S (2016). Techno-economic analysis for the deployment of PPDR services over 4G/4G+ Networks. IEEE International Conference on Telecommunications and Multimedia. Heraklion, Greece 25 - 27 Jul 2016 Institute of Electrical and Electronics Engineers (IEEE).

End-to-end quality aware optimization for multimedia clouds
Athanasopoulos, D, Politis, I, Lykourgiotis, A, Tselios, C and Dagiuklas, A. (2016). End-to-end quality aware optimization for multimedia clouds. IEEE International Conference on Telecommunications and Multimedia. Heraklion, Greece 25 - 27 Jul 2016 Institute of Electrical and Electronics Engineers (IEEE).

Non-Conforming Behavior Detection for VoIP-Based Network Systems
Galiotos, P, Anagnostopoulos, C, Dagiuklas, T and Kotsopoulos, S (2016). Non-Conforming Behavior Detection for VoIP-Based Network Systems. IEEE International Conference on Communications. Kuala Lumpur, Malaysia 23 - 27 May 2016 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ICC.2016.7511103

V2I Applications in Highways: How RSU Dimensioning Can Improve Service Delivery
Charalampopoulos, G, Dagiuklas, T and Chrysikos, T (2016). V2I Applications in Highways: How RSU Dimensioning Can Improve Service Delivery. 2nd International Conference on Telecommunications (ICT). Thessaloniki, Greece 16 - 18 May 2016 London South Bank University.